Regression analysis of censored data using pseudo-observations

We draw upon a series of articles in which a method based on pseudovalues is proposed for direct regression modeling of the survival function, the restricted mean, and the cumulative incidence function in competing risks with right-censored data. The models, once the pseudovalues have been computed, can be fit using standard generalized estimating equation software. Here we present Stata procedures for computing these pseudo-observations. An example from a bone marrow transplantation study is used to illustrate the method.


Issue Date:
2010
Publication Type:
Journal Article
DOI and Other Identifiers:
st0202 (Other)
PURL Identifier:
http://purl.umn.edu/159032
Published in:
Stata Journal, Volume 10, Number 3
Page range:
408-422
Total Pages:
15

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 Record created 2017-04-01, last modified 2017-08-27

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